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Event-driven process execution model for process virtual machine 被引量:3
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作者 WU Dong-yao WEI Jun GAO Chu-shu DOU Wen-shen 《计算机集成制造系统》 EI CSCD 北大核心 2012年第8期1675-1685,共11页
Current orchestration and choreography process engines only serve with dedicate process languages.To solve these problems,an Event-driven Process Execution Model(EPEM) was developed.Formalization and mapping principle... Current orchestration and choreography process engines only serve with dedicate process languages.To solve these problems,an Event-driven Process Execution Model(EPEM) was developed.Formalization and mapping principles of the model were presented to guarantee the correctness and efficiency for process transformation.As a case study,the EPEM descriptions of Web Services Business Process Execution Language(WS-BPEL) were represented and a Process Virtual Machine(PVM)-OncePVM was implemented in compliance with the EPEM. 展开更多
关键词 business process modeling event-driven architecture process virtual machine service orchestration process execution language
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Hybrid Recommendation Based on Graph Embedding 被引量:1
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作者 Cheng Zeng Haifeng Zhang +2 位作者 Junwei Ren Chaodong Wen Peng He 《China Communications》 SCIE CSCD 2021年第11期243-256,共14页
In recent years,online reservation systems of country hotel have become increasingly popular in rural areas.How to accurately recommend the houses of country hotel to the users is an urgent problem to be solved.Aiming... In recent years,online reservation systems of country hotel have become increasingly popular in rural areas.How to accurately recommend the houses of country hotel to the users is an urgent problem to be solved.Aiming at the problem of cold start and data sparseness in recommendation,a Hybrid Recommendation method based on Graph Embedding(HRGE)is proposed.First,three types of network are built,including user-user network based on user tag,househouse network based on house tag,and user-user network based on user behavior.Then,by using the method of graph embedding,three types of network are respectively embedded into low-dimensional vectors to obtain the characterization vectors of nodes.Finally,these characterization vectors are used to make a hybrid recommendation.The datasets in this paper are derived from the Country Hotel Reservation System in Guizhou Province.The experimental results show that,compared with traditional recommendation algorithms,the comprehensive evaluation index(F1)of the HRGE is improved by 20% and the Mean Average Precision(MAP)is increased by 11%. 展开更多
关键词 graph embedding hybrid recommendation collaborative filtering tagging
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